AIMC Topic: Trust

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Trust criteria for artificial intelligence in health: normative and epistemic considerations.

Journal of medical ethics Jul 23, 2024
Rapid advancements in artificial intelligence and machine learning (AI/ML) in healthcare raise pressing questions about how much users should trust AI/ML systems, particularly for high stakes clinical decision-making. Ensuring that user trust is prop...
Machine Learning Algorithms Physicians Humans Artificial Intelligence Male Trust Middle Aged Female Adult Clinical Decision-Making
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AI-teaming: Redefining collaboration in the digital era.

Current opinion in psychology Jun 29, 2024
Integrating artificial intelligence (AI) into human teams, forming human-AI teams (HATs), is a rapidly evolving field. This overview examines the complexities of team constellations and dynamics, trust in AI teammates, and shared cognition within HAT...
Humans Cooperative Behavior Trust Artificial Intelligence Group Processes
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When Trustworthiness Meets Face: Facial Design for Social Robots.

Sensors (Basel, Switzerland) Jun 28, 2024
As a technical application in artificial intelligence, a social robot is one of the branches of robotic studies that emphasizes socially communicating and interacting with human beings. Although both robot and behavior research have realized the sign...
Robotics Humans Face Artificial Intelligence Young Adult Male Female Adult Trust
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Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction.

Gastrointestinal endoscopy Jun 26, 2024
BACKGROUND AND AIMS: Computer-aided diagnosis (CADx) for the optical diagnosis of colorectal polyps is thoroughly investigated. However, studies on human-artificial intelligence interaction are lacking. Our aim was to investigate endoscopists' trust ...
Colorectal Neoplasms Male Precancerous Conditions Middle Aged Artificial Intelligence Diagnosis, Computer-Assisted Trust Humans Colonoscopy Colonic Polyps Algorithms Female
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Emotional and cognitive trust in artificial intelligence: A framework for identifying research opportunities.

Current opinion in psychology Jun 24, 2024
This article briefly summarizes trust as a multi-dimensional construct, and trust in AI as a unique but related construct. It argues that because trust in AI is couched within an economic landscape, these two frameworks should be combined to understa...
Law Enforcement Humans Trust Cognition Artificial Intelligence Delivery of Health Care Emotions
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Clinicians and AI use: where is the professional guidance?

Journal of medical ethics Jun 21, 2024
With the introduction of artificial intelligence (AI) to healthcare, there is also a need for professional guidance to support its use. New (2022) reports from National Health Service AI Lab & Health Education England focus on healthcare workers' und...
Artificial Intelligence Health Personnel Decision Support Systems, Clinical Humans State Medicine Trust
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From Pixels to Principles: A Decade of Progress and Landscape in Trustworthy Computer Vision.

Science and engineering ethics Jun 10, 2024
The rapid development of computer vision technologies and applications has brought forth a range of social and ethical challenges. Due to the unique characteristics of visual technology in terms of data modalities and application scenarios, computer ...
Bibliometrics Humans Data Mining Natural Language Processing Artificial Intelligence Trust
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Machine learning models' assessment: trust and performance.

Medical & biological engineering & computing Jun 8, 2024
The common black box nature of machine learning models is an obstacle to their application in health care context. Their widespread application is limited by a significant "lack of trust." So, the main goal of this work is the development of an evalu...
Risk Assessment Logistic Models Portugal Bayes Theorem Male Trust Middle Aged Female Aged Humans Machine Learning
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Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration.

Journal of medical Internet research Jun 6, 2024
Adverse drug reactions are a common cause of morbidity in health care. The US Food and Drug Administration (FDA) evaluates individual case safety reports of adverse events (AEs) after submission to the FDA Adverse Event Reporting System as part of it...
Clinical Decision-Making Trust United States Artificial Intelligence Algorithms Product Surveillance, Postmarketing United States Food and Drug Administration Adverse Drug Reaction Reporting Systems Drug-Related Side Effects and Adverse Reactions Humans
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AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare.

Science and engineering ethics Jun 4, 2024
While the technologies that enable Artificial Intelligence (AI) continue to advance rapidly, there are increasing promises regarding AI's beneficial outputs and concerns about the challenges of human-computer interaction in healthcare. To address the...
Humans Artificial Intelligence Guidelines as Topic Morals Delivery of Health Care Trust
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